Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
About the role
- Data Scientist developing deep learning solutions and models to address business challenges in underwriting. Collaborating with tech and product partners utilizing large language models in a hybrid work environment.
Responsibilities
- Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.
- Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.
- Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs).
- This collaboration will help provide seamless experiences for our customers and associates.
- Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.
- Work cross-functionally on projects that support key business initiatives and drive sustainable growth.
Requirements
- Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.
- Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Familiarity with both pre-training and fine-tuning of large-scale models.
- Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.
- A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.
- Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.
- Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.
- A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.
Benefits
- Immediate access to our core benefits including pension scheme
- Bonus
- Generous holiday entitlement
- Private medical insurance
- Flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
- Open-plan workspaces
- Accessible facilities designed to inspire and support you
- Fully-serviced gym
- Subsidised restaurant
- Mindfulness and music rooms
- Rooftop running track
- Espresso at the Workshop Coffee café
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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